Ulefone Armor 15
Geekbench AI Score
43
Single Precision Score
43
Half Precision Score
68
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Ulefone Armor 15 |
| Model ID | Ulefone Armor 15 |
| Motherboard | Ulefone |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
25
4.62 IPS |
|
|
Image Classification (HP)
|
100% |
25
4.66 IPS |
|
|
Image Classification (Q)
|
99% |
43
8.03 IPS |
|
|
Image Segmentation (SP)
|
100% |
34
0.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
34
0.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
50
0.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
46
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
44
0.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
89
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
25
2.01 IPS |
|
|
Object Detection (HP)
|
100% |
25
2.02 IPS |
|
|
Object Detection (Q)
|
87% |
45
3.60 IPS |
|
|
Face Detection (SP)
|
100% |
60
0.71 IPS |
|
|
Face Detection (HP)
|
100% |
61
0.72 IPS |
|
|
Face Detection (Q)
|
97% |
111
1.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
58
0.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
58
0.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
88
0.80 IPS |
|
|
Style Transfer (SP)
|
100% |
103
0.13 IPS |
|
|
Style Transfer (HP)
|
100% |
104
0.13 IPS |
|
|
Style Transfer (Q)
|
98% |
202
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30
1.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30
1.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55
2.04 IPS |
|
|
Text Classification (SP)
|
100% |
35
47.1 IPS |
|
|
Text Classification (HP)
|
100% |
35
47.2 IPS |
|
|
Text Classification (Q)
|
91% |
51
68.5 IPS |
|
|
Machine Translation (SP)
|
100% |
63
1.09 IPS |
|
|
Machine Translation (HP)
|
100% |
62
1.07 IPS |
|
|
Machine Translation (Q)
|
57% |
48
1.18 IPS |
